iPad Pro 11-inch (2nd generation)
Geekbench AI Score
703
Single Precision Score
2392
Half Precision Score
441
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 02:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.2 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27336
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1539
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (Q)
|
94% |
201
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6484
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1048
8.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
22978
177.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
603
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3217
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3080
3.96 IPS |
|
|
Style Transfer (Q)
|
96% |
2333
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
494
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
262
350.3 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.3 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.1 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
98% |
382
6.60 IPS |
